wegiangb / Making_Sensor_Sense

An Air Quality measurement and analysis citizen science initaitive for school to increase EDI in environmental sciences

MAKE SENSE OF Air Quality SENSORS THROUGH CITIZEN SCIENCE

AIR POLLUTION AWARENESS FOR EQUALITY DIVERSITY AND INCLUSIVE (EDI): MAKE SENSE OF SENSOR THROUGH CITIZEN SCIENCE from AirNode, Nottingham Trent University, Northampton Town Council and STFC DAFNI

  The initiative shall install AQ sensors in a trial to monitor near many schools and Universities. It shall analyse the AQ measurements for irregular patterns and predict the next two days of AQ measurements. It shall present the results on a dashboard for local schools and citizens. 
  
  User shall be able to replicate air quality analysis and create their own analysis and measurements. This shall be done to increase EDI group involvement in environmental science and air quality analysis. There shall test that can be done to educate user and conduct analysis. This shall be in 10 levels from basic for primary school to advanced for University students. 
  
  There shall be tests to try out mitigation strategies of no idling vehicles and other strategies with abilty to analyse the AQ measurement to determine success of the strategy. It shall be initially trialled in Nottingham which has one of the highest population of the ethnic monitories and divserse school population outside of London with aim to extend to other locations.
  
  The main aim being to highlight the interesting aspect, scope and benefits to individual or society of air quality analysis or more generally environmental science. The aim is to highlight this before pupil make crunch decisions to neglect becoming environmental scientist which causing the environmental sciences the second least EDI diverse industry. 

Output

Gantt Chart

PDF https://github.com/wegiangb/NERC_EDI/blob/main/SAQN_Make%20sense%20of%20Sensor%20through%20Citizen%20Science_GanttChart.pdf

Excel https://github.com/wegiangb/NERC_EDI/blob/main/SAQN_Make%20sense%20of%20Sensor%20through%20Citizen%20Science_GanttChart.xls

Website

https://making-sensor-sense.webflow.io/

Demo of the citizen science dashboard

http://airnode.co.uk/NERC_EDI/index.html

AirNode Analysis of use cases

http://airnode.co.uk/NERC_EDI/Dashboard_Analysis_Levels/QC_Result/Dashboard_PutneyHighStreet_Source_Analysis_Levels_AirNode.html

Aims

• Targeting an air quality analysis citizen science initiative at EDI groups

• Targeting opportunity to allow EDI groups to experience environment science and air quality methods before crunch decisions to neglect become environmental scientists.

• Producing information on local air quality and the exposure of the population to air pollution;

• Raising awareness of a local air quality problem to attract the attention of local or national authorities;

• Complementing measurements taken by official air quality monitoring networks and helping improve air quality models; and/or

• Generating experience of the use of low-cost measuring devices and networks of such devices.

• Raising awareness to EDI groups of interesting aspects, scope and benefit to society or your own experience of air quality monitoring, analysis and therefor environmental science in general.

• Giving opportunity to EDI groups to try environmental science methods from basic to advanced to increase potential for choosing to do further studies.

It includes begins of:

WP 1 Literature Review of Air Quality networks

Completed

· A literature review of Air quality sensors, AQ domain and usage of air quality measurements

To do

· Task 1 Understanding optimisation of AQ Sensor network accuracies

· Task 2 Understanding outdoor AQ impact on urban ventilation systems

· Task 3 Preparing the Likert pre-participants survey based on the citizen science approach

WP 2 AirNode Software validation with existing datasets and updated from existing outcomes of tasks

Completed

· AirNode software applied to analyse AQ measurements at Newcastle City Centre and Putney High Street

· A full demo of analysis of Putney High Street sensor can be seen at http://airnode.co.uk/NERC_EDI/Dashboard_Analysis_Levels/QC_Result/Dashboard_PutneyHighStreet_Source_Analysis_Levels_AirNode.html

It identifies:

Irregular Patterns

Anomalies

Seasonality and other trends

To do

· Task 1 AirNode’s AQ validation software to existing AQ datasets

· Task 2 Applying WP1 findings to AQ dataset analysis

· Task 3 Analysis of the output of AQ networks to link with the citizen science dashboard

WP 3 Implementing the findings from WP1 and WP2 to the new AQ network for the pilot school tasks

Completed

· Overview and Plans for AQ networks and school trial through NTU Outreach Team

· Scope of the AQ network

· AQ network sensors selected and location in network

To do

• Analyse and optimise the pilot network •

· Task 1 Set up new pilot AQ network and data collection

· Task 2 Analyse and optimise the pilot network

· Task 3 Analyse irregular patterns in the network and impact the indoor ventilation system

WP 4 Citizen Science Initiative and Dashboard that includes Emoji Air Quality Index Map

Completed

· Template Method to target school with groups underrepresented in environmental science

· Beginnings of the dashboard see http://airnode.co.uk/NERC_EDI/index.html

· General Lesson plans for the citizen science initaitve

· Role out plan for the citizen science initiative

To do

· Task 1 Dashboard development based on the WP2-3

· Task 2 The Pre participants evaluation survey with an advisory board, EDI group and citizen science experts

· Task 3 Lessons and Tests for measuring and analysis with school

· Task 4 Student Presentations and school dissemination

Dashboard Map

A little project to visualise air pollution levels around the world using emojis 😎

WP 5 Integrating the software and datasets on DAFNI platform for scale-up and dissemination

Completed

· Beginings of the Programme of further processes for schools

To do

· Task 1 Apply AirNode validation on DAFNI platform to real-time AQ network

· Task 2 Report insights from optimising Low-cost AQ networks

· Task 3 The post-evaluation survey with all stakeholders

· Task 4 Dissemination with all stakeholders

· Task 5 Report and publication writing

Application

Case for Support

Application

Work Programme

Gantt Chart

Objectives, Summary and Benefits

Instruction to create Citizen Science Initiative

1 Git clone this repository

2 Development mode

npm start

3 Build for production

npm run build

Credits

• Leaflet.js - https://leafletjs.com/
• Real-time Air Quality Index API - https://aqicn.org/contact/
• AirNode software - AQ analysis
• AQ measurements - Urban Observatory